British Journal Of Radiology

British Journal Of Radiology

英国放射学杂志

  • 3区 中科院分区
  • Q2 JCR分区

期刊简介

《British Journal Of Radiology》是由British Institute of Radiology出版社于1896年创办的英文国际期刊(ISSN: 0007-1285,E-ISSN: 1748-880X),该期刊长期致力于核医学领域的创新研究,主要研究方向为医学-核医学。作为SCI、SCIE收录期刊(JCR分区 Q2,中科院 3区),本刊采用OA未开放获取模式(OA占比0.0895...%),以发表核医学领域等方向的原创性研究为核心(研究类文章占比70.79%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在267篇,确保学术质量与前沿性。成果覆盖Web of ScienceWeb of Science、Scopus等国际权威数据库,为学者提供推动医学领域高水平交流平台。

投稿咨询

投稿提示

British Journal Of Radiology审稿周期约为较快,2-4周。该刊近年未被列入国际预警名单,年发文量约267篇,录用竞争适中,主题需确保紧密契合医学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 医学 大类学科
  • English 出版语言
  • 是否预警
  • SCI、SCIE 期刊收录
  • 267 发文量

中科院分区

《新锐期刊分区表》(2026年3月发布)

Top期刊 综述期刊 大类学科 小类学科
医学
3区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
3区

期刊分区表(2025年3月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
4区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
4区

期刊分区表(2023年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
4区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
4区

期刊分区表(2022年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
3区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
3区

期刊分区表(2021年12月升级版)

Top期刊 综述期刊 大类学科 小类学科
医学
3区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
4区

JCR分区

2025-2026年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q2 59 / 217

73

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q2 73 / 217

66.59

2024-2025年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q1 44 / 213

79.6

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q2 73 / 213

65.96

2023-2024年最新版

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q3 113 / 204

44.9

学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING SCIE Q2 88 / 204

57.11

CiteScore(2026年6月最新版)

CiteScore SJR SNIP CiteScore 排名
CiteScore:6.8 SJR:1.024 SNIP:1.365
学科类别 分区 排名 百分位
大类:Medicine 小类:Radiology, Nuclear Medicine and Imaging Q1 48 / 361

86%

期刊发文

  • Dual-layer spectral detector CT radiomic features to predict programmed cell death ligand 1 expression in invasive lung adenocarcinom

    Author: Wang, Hua; Ma, Yaqiong; Li, Huaxin; Li, Min; Han, Ying; Li, Qi; Zhang, Lihan; Ye, Zhaoxiang; Chen, Yong-Zi

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag064

  • Evaluation of patient setup accuracy using optical surface guidance in postoperative radiotherapy for patients with breast cancer after breast-conserving surger

    Author: Wan, Bao; Han, Jiangtao; Zheng, Yongtai; Liu, Chao; Sun, Shuo; Zhao, Yu; Huan, Fukui; Li, Tantan

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag058

  • Transformer-based super-resolution lung CT images improve visualization of multiple disease

    Author: Li, Qingyao; Xu, Min; Zhang, Yaping; Zhang, Lu; Wang, Lingyun; Pan, Zhijie; Xie, Xueqian

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag069

  • Clinicopathological and imaging features of pediatric adrenocortical carcinoma: compared with non-carcinom

    Author: Hu, Peian; Chen, Lei; Zhou, Zhengrong

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag067

  • Visualization of cerebral veins and deep gray matter nuclei by susceptibility-weighted imaging: a comparative study of 5.0 T and 3.0 T imagin

    Author: Yang, Shangpo; Huang, Zhenxing; Yuan, Jianmin; Wang, Haining; Dong, Yijing; Zhong, Yihong; Dai, Yongming; Liang, Dong; Zheng, Hairong; Luo, Dehong; Liu, Zhou; Hu, Zhanli

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag076

  • Multiparametric MRI for preoperative identification of aggressive type endometrial carcinoma in FIGO 2023: Integrating intratumoral and peritumoral parameters from multi-b-value diffusion-weighted imaging and dynamic contrast-enhanced MR

    Author: Zhang, Jieying; Zhang, Qi; Chen, Shuang; Sun, Yuying; Li, Luyuan; Song, Yan; Xie, Lizhi; Yu, Xiaoduo; Chen, Yan

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag032

  • Automated segmentation of complicated cystic renal masses using 3D V-Net convolutional neural network on MR

    Author: Kang, Huanhuan; Jia, Chuang; Wang, Zhongyi; Huang, Bin; Wang, He; Jiang, Jiahui; Liu, Zhe; Cui, Mengqiu; Zhao, Jian; Bai, Xu; Li, Lin; Guo, Huiping; Ning, Xueyi; Ye, Huiyi; Yang, Dawei; Guo, Hao; Xue, Jian; Wang, Haiyi

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag027

  • Ultrasound accuracy in classifying full-thickness supraspinatus tear patterns: an arthroscopic correlation stud

    Author: Wang, Shengqiao; Tang, Kuanli; Chen, Juan; Jiang, Jun; Dong, Yi

    Journal: BRITISH JOURNAL OF RADIOLOGY. 2026; Vol. , Issue , pp. -. DOI: 10.1093/bjr/tqag041